Application of image processing and transfer learning for the detection of rust disease
Published 2023 View Full Article
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Title
Application of image processing and transfer learning for the detection of rust disease
Authors
Keywords
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Journal
Scientific Reports
Volume 13, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-03-29
DOI
10.1038/s41598-023-31942-9
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- (2017) Bin Liu et al. Symmetry-Basel
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- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
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- (2015) Andrew J. Friskop et al. PLANT DISEASE
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- (2010) T. Rumpf et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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